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Update app.py
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app.py
CHANGED
@@ -153,7 +153,7 @@ def tokenizer(text: str):
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"""
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phonemes_string, tokens = g2p(text)
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phonemes = [ph for ph in phonemes_string]
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print(phonemes_string)
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tokens = [phoneme_vocab[phoneme] for phoneme in phonemes if phoneme in phoneme_vocab]
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return tokens
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@@ -197,7 +197,7 @@ def tts_streaming(text: str, voice: str = "af_heart", speed: float = 1.0, format
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if i == 0:
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tokens_to_send = [0] + chunk_tokens + [0]
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else:
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tokens_to_send = [prev_last_token] + [16] + chunk_tokens + [0]
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# token_to_send = [0] + chunk_tokens + [0]
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# Save the last token of this chunk for the next iteration.
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@@ -205,7 +205,7 @@ def tts_streaming(text: str, voice: str = "af_heart", speed: float = 1.0, format
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# Prepare the model input (a batch of one sequence).
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final_token = [tokens_to_send]
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print(final_token)
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# Use the number of tokens to select the appropriate style vector.
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style_index = len(chunk_tokens) + 2
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"""
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phonemes_string, tokens = g2p(text)
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phonemes = [ph for ph in phonemes_string]
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print(text + " " + phonemes_string)
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tokens = [phoneme_vocab[phoneme] for phoneme in phonemes if phoneme in phoneme_vocab]
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return tokens
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if i == 0:
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tokens_to_send = [0] + chunk_tokens + [0]
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else:
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+
tokens_to_send = [prev_last_token] + [16] + [0] + chunk_tokens + [0]
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# token_to_send = [0] + chunk_tokens + [0]
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# Save the last token of this chunk for the next iteration.
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# Prepare the model input (a batch of one sequence).
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final_token = [tokens_to_send]
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# print(final_token)
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# Use the number of tokens to select the appropriate style vector.
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style_index = len(chunk_tokens) + 2
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